This Hardware Pioneers Max 2021 seminar looked at Machine Learning in embedded systems allows the use of data in automated business processes to make more educated predictions. Machine Learning leverages a large amount of historic data to enable electronic systems to learn autonomously and use that knowledge for analysis, predictions, and decision making.
In this session the speakers discuss the main challenges and obstacles engineers have to overcome when developing ML on embedded devices and the best practices to follow.
Pre-register for Hardware Pioneers Max 2022 here.
Speakers
Chris Shore, Director EndpointAI Ecosystem, Arm
Adam Taylor, Ambassador and Embedded Systems Consultant, Edge Impulse
Sinisa Patkovic, Investor, Advisor, Yatto
